Retrieval Augmented Generation (RAG) combines the strengths of text generation and information retrieval to provide comprehensive and precise answers to queries. This allows developers to create complex applications and fully utilize the capabilities of modern AI models.
In our three-day interactive workshop, “AI for Your Own Data: Retrieval Augmented Generation (RAG) in Practice with LangChain.js,” you will receive a detailed introduction to the architecture and technical intricacies of RAG and LangChain.js. You will learn how to develop custom AI solutions using RAG as a central pattern and how to implement this architecture in the cloud or on-premise. Additionally, you will gain knowledge on how to optimize prompts and design efficient AI solutions. You will learn effective work techniques and find out how to integrate your own data into AI models, connect APIs like OpenAI and Azure OpenAI, and master the technical intricacies of model integration.
The exercises take place in an interactive and supportive learning environment, where you can directly apply what you have learned. You will develop your own AI agents from conception to realistic test scenarios and learn to implement them both in the cloud and on-premise.
The workshop is aimed at developers who want to expand their technical skills and gain practical insights into the use of modern AI technologies. Whether you are already working with AI or just starting your AI journey, this workshop offers you the opportunity to expand your knowledge and connect with like-minded individuals.
The workshop is led by Gregor Biswanger, a leading expert in generative AI, Microsoft MVP for Azure AI and Web App Development. He works closely with the Microsoft product team for GitHub Copilot and supports companies in implementing modern AI solutions.